The Three-Dimensional Decomposition of Volatility Memory

By Ziyao Wang, A. Alexandre Trindade, Svetlozar T. Rachev

Published 2025-12-03

Everscope rating
1617.9
Relevance to quantitative trading
8 / 10
Implementation complexity
8 / 10
Reproducibility
3 / 5

About this paper

Methodology: Three-Dimensional Canonical Decomposition of Volatility Memory Kernels. Problem types: Time Series Forecasting, Risk Management, Density Estimation, Optimization.

arXiv:2512.02166 ยท Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.